activity
20062025
most citedAdaptive Linear Programming Decoding

33 citations · 56 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Video4Spatial: Towards Visuospatial Intelligence with Context-Guided Video Generation

Zeqi Xiao, Yiwei Zhao, Lingxiao Li +6

We investigate whether video generative models can exhibit visuospatial intelligence, a capability central to human cognition, using only visual data. To this end, we present Video…

cs.CV2024

Infinite-Resolution Integral Noise Warping for Diffusion Models

Yitong Deng, Winnie Lin, Lingxiao Li +5

Adapting pretrained image-based diffusion models to generate temporally consistent videos has become an impactful generative modeling research direction. Training-free noise-space…

cs.IT2009★ 2 cited

Efficient implementation of linear programming decoding

Mohammad H. Taghavi, Amin Shokrollahi, Paul H. Siegel

While linear programming (LP) decoding provides more flexibility for finite-length performance analysis than iterative message-passing (IMP) decoding, it is computationally more co…

cs.IT2007★ 20 cited

Graph-Based Decoding in the Presence of ISI

Mohammad H. Taghavi, Paul H. Siegel

We propose an approximation of maximum-likelihood detection in ISI channels based on linear programming or message passing. We convert the detection problem into a binary decoding…

cs.IT2007★ 1 cited

Adaptive Methods for Linear Programming Decoding

Mohammad H. Taghavi, Paul H. Siegel

Detectability of failures of linear programming (LP) decoding and the potential for improvement by adding new constraints motivate the use of an adaptive approach in selecting the…

cs.IT2006★ 33 cited

Adaptive Linear Programming Decoding

Mohammad H. Taghavi N., Paul H. Siegel

Detectability of failures of linear programming (LP) decoding and its potential for improvement by adding new constraints motivate the use of an adaptive approach in selecting the…